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Updated: Jun 2, 2026
10:39
Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating
Published on: October 11, 2016
Beam hardening effects in grating-based x-ray phase-contrast imaging.
Michael Chabior1, Tilman Donath, Christian David
1Siemens AG Corporate Technology, 80200 München, Germany. michael.chabior.ext@siemens.com
Medical Physics
|April 28, 2011
Summary
Beam hardening degrades image quality in x-ray phase-contrast imaging, similar to conventional methods. A new linearization technique corrects these artifacts in homogeneous objects, improving medical imaging and nondestructive testing.
Area of Science:
- Medical Imaging
- Materials Science
- Physics
Background:
- X-ray phase-contrast imaging offers enhanced sensitivity compared to conventional attenuation-based methods.
- Beam hardening, an artifact caused by polychromatic X-ray sources, affects image quality in various imaging modalities.
- Understanding beam hardening's impact is crucial for optimizing phase-contrast imaging techniques.
Purpose of the Study:
- To investigate the effects of beam hardening on image formation in x-ray phase-contrast imaging.
- To develop and validate a correction algorithm for beam hardening artifacts in phase-contrast imaging.
Main Methods:
- Utilized a grating interferometer for x-ray phase-contrast imaging, visualizing differential phase shifts.
- Developed an analytical description of beam hardening, differentiating its effects in attenuation and phase-contrast imaging.
- Presented experimental results of beam hardening artifacts using a polychromatic source and well-defined samples.
Main Results:
- Beam hardening reduces image quality in phase-contrast imaging comparably to attenuation-contrast imaging.
- A linearization technique effectively corrects beam hardening artifacts in homogeneous objects.
- The developed correction method is applicable to various phase-contrast techniques using polychromatic sources.
Conclusions:
- The developed correction algorithm demonstrates efficacy for simple test objects.
- The algorithm shows promise for improving image quality in medical imaging and nondestructive testing applications.
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